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| Packages that use AbstractFactorizer | |
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| org.apache.mahout.cf.taste.impl.recommender.svd | |
| Uses of AbstractFactorizer in org.apache.mahout.cf.taste.impl.recommender.svd |
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| Subclasses of AbstractFactorizer in org.apache.mahout.cf.taste.impl.recommender.svd | |
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ALSWRFactorizer
factorizes the rating matrix using "Alternating-Least-Squares with Weighted-λ-Regularization" as described in the paper "Large-scale Collaborative Filtering for the Netflix Prize" |
class |
ExpectationMaximizationSVDFactorizer
Calculates the SVD using an Expectation Maximization algorithm. |
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